AI-Powered Telegram Chatbot with Session Management

Developers and Programmers: Those looking to integrate AI chat capabilities into their Telegram applications.
Small Business Owners: Who want to automate customer interactions and improve engagement without extensive coding.
Educators and Trainers: Interested in using AI for tutoring or answering student queries in real-time.
Data Analysts: Who require a tool to summarize data or responses from users efficiently.
Tech Enthusiasts: Individuals wanting to experiment with chatbot functionalities and AI integrations.

Session Management: This workflow allows users to manage multiple interactions with the chatbot seamlessly, enabling them to start new sessions, resume previous ones, and check their current status.
Automated Responses: It automates the response process, ensuring quick replies to user queries, which enhances user experience.
Data Logging: The integration with Google Sheets allows for effective logging of conversations, making it easier to track interactions and analyze data.
Summarization: Users can request summaries of past conversations, providing a quick overview without having to sift through all messages.

Trigger: The workflow is initiated by a message sent to the Telegram bot.
Session Retrieval: The bot retrieves the current session from Google Sheets to determine the user's state.
Command Identification: The message is analyzed to identify if it is a command (e.g., /new, /current, /resume, /summary, /question).
Session Management: Depending on the command, the workflow either creates a new session, retrieves the current session, resumes a previous session, or provides a summary of past interactions.
Response Generation: For questions, the bot generates responses using an AI model integrated with LangChain.
Response Sending: The generated responses are sent back to the user through Telegram.
Data Logging: All interactions, including prompts and responses, are logged into Google Sheets for future reference.