Telegram ChatBot with multiple sessions

For Telegram, this AI-powered chatbot manages multiple user sessions, enabling users to start new conversations, check current sessions, resume past interactions, get summaries, and ask questions. It seamlessly integrates with Google Sheets for session tracking and utilizes LangChain for enhanced conversational capabilities, providing a responsive and organized chat experience.

7/8/2025
38 nodes
Complex
manualcomplexlangchaintelegramtriggergooglesheetstelegramsticky noteadvancedcommunicationbotlogicroutingconditional
Categories:
Communication & MessagingComplex WorkflowManual TriggeredData Processing & Analysis
Integrations:
LangChainTelegramTriggerGoogleSheetsTelegramSticky Note

Target Audience

  • 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.

    • Problem Solved

  • 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.

    • Workflow Steps

  • 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.

    • Customization Guide

  • Change Commands: Users can modify the commands recognized by the bot by updating the conditions in the Command or text? node.
    - Customize Responses: The responses generated by the AI can be tailored by changing the prompts used in the OpenAI Chat Model nodes.
    - Adjust Data Logging: Users can change the Google Sheets document and sheet names in the Google Sheets nodes to log data in different locations.
    - Modify Session Management: The logic for managing sessions can be altered by adjusting the parameters in the Get session, Set new session, and Disable previous session nodes.
    - Enhance User Experience: Users can add more interactive features by integrating additional nodes or modifying existing ones to include rich media responses.