Documentation
An overview of the serverless architecture powering the Smart Telegram Bot.
System Architecture
Data & Event Flow
Event Triggers
The process begins when an event occurs. This can be a user sending a message to the bot (Telegram Event) or a scheduled task firing from the AWS Scheduler (e.g., for sending daily news updates).
Lambda Execution
Both types of triggers invoke the central AWS Lambda function. This function acts as the brain of the operation, orchestrating all subsequent actions without needing a dedicated server.
Processing & Data Handling
The Lambda function processes the incoming request. It may fetch or store conversation history and user data in AWS DynamoDB. For intelligent or generative responses, it makes a call to the Gemini API.
Sending the Response
After processing and generating a response, the Lambda function uses the Telegram API to send the final message back to the user in their chat window, completing the cycle.
Core Components
AWS Lambda
A serverless, event-driven compute service. It runs the bot's core logic in response to triggers, automatically managing the underlying compute resources.
AWS DynamoDB
A fully managed NoSQL database used for storing and retrieving data like user profiles, conversation history, or application state with low latency.
AWS Scheduler
(Amazon EventBridge Scheduler) A serverless scheduler that reliably triggers the Lambda function at specified times for recurring tasks like sending notifications or reports.
Telegram API & Events
The interface for bot interaction. "Telegram Events" are webhooks that notify our Lambda of user actions (e.g., messages), and the "Telegram API" is used to send responses back.
Gemini API
Google's powerful suite of generative AI models. It's used to understand user intent, generate human-like text, and provide intelligent answers to complex questions.