👀A Brief Overview

Telegram bots have been around for a long time . But as a Rustacean it made me sad , that there aren’t many resources to help you create one in Rust . So today we combine the two most discussed tech terms i.e. AI and bots . And obviously we had to include Rust . We will give you a detailed step by step explanation to create one . And don’t worry if you are a beginner we got you covered.

Key areas of this project:

1. Scalability and Performance:

• Designing the chat-bot to handle a potentially large number of users simultaneously without significant performance degradation.
• In other words , when we have many users interacting with the bot , and the bot has to deal with multiple messages and simulateously making API calls it should not lag and ignore some messaging in the process.

1. Telegram Bot:

• The core component of the architecture is the Telegram Bot created using the Teloxide library. This bot listens for incoming messages from Telegram users and responds with text generated by the OpenAI API.

1. Message Handling:
   • Within the REPL loop, the code checks if an incoming message contains text content using the message.text() method.
   • If the message has text content, the program proceeds to call the get_openai_response function to generate a response.
2. Teloxide Library:
   • Teloxide is a Rust library for building Telegram bots. It provides tools and abstractions to interact with the Telegram Bot API in an asynchronous manner.
   • Think of it like assembling pizza . Instead of you baking it from scratch you could buy the pizza base and the necessary ingredients to go on it . Assemble it and bake.
   • In the same way you don’t need to write everything from scratch instead just import the readymade libraries and frameworks to build your bot with . Ofcourse , you’d have to tune it as per your requirements or likings . Like in the case of pizza some may like more olives , others might want to avoid it altogether
3. Error Handling:
   • Throughout the code, the ? operator is used to handle errors gracefully. If any asynchronous operation fails, an error is propagated and can be handled at the higher levels.

Architecture:

The architecture involves a Telegram bot created using the Teloxide library as described above .

Here,

1.The bot listens for messages from users - These are basically the chats from the user on the telegram platform itself. (in this case questions/prompts to be supplied to OpenAI)

2.Sending these messages to the OpenAI API for text generation: The chats or messages from previous step are now sent to the OpenAI API .