This Telegram bot uses an in-memory queue system to handle chat messages efficiently, ensuring fast webhook responses while processing AI-generated replies asynchronously.

• Webhook handler receives messages and immediately adds them to an in-memory queue
• Returns quickly to avoid Telegram webhook timeouts
• Shows "typing" indicator to acknowledge receipt

• Background queue processor runs every 500ms
• Processes messages one by one with AI text generation
• Sends responses back to Telegram using the Bot API
• Includes error handling and rate limiting

interface ChatTask {
  chatId: number;        // Telegram chat ID
  messageId: number;     // Original message ID for replies
  userMessage: string;   // User's message text
  timestamp: number;     // When message was queued
}

1. Fast Response: Webhook completes in milliseconds
2. Reliable Processing: Messages are queued and processed reliably
3. Error Handling: Failed messages get error responses
4. Rate Limiting: Small delays between processing to avoid API limits
5. Logging: Console logs for monitoring queue activity

• TELEGRAM_TOKEN: Your Telegram bot token
• OPENAI_API_KEY: OpenAI API key for text generation

1. User sends message to Telegram bot
2. Telegram webhook calls our endpoint
3. Message is added to queue, webhook responds immediately
4. Background processor picks up message from queue
5. AI generates response using OpenAI
6. Response is sent back to user via Telegram API

This pattern ensures your middleware stays fast while allowing complex processing to happen asynchronously.