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Telegram ChatBot with Multiple Sessions

This workflow builds an intelligent chatbot that efficiently manages multiple user conversations in Telegram. Users can start, switch, and resume conversations with simple commands, while automatically generating conversation summaries and answering questions. By integrating OpenAI's intelligent language model and Google Sheets for data storage, it achieves persistent management of conversations, enhancing the user interaction experience. This solution is suitable for various scenarios, including customer service, online learning assistance, and community management.

Workflow Diagram
Telegram ChatBot with Multiple Sessions Workflow diagram

Workflow Name

Telegram ChatBot with Multiple Sessions

Key Features and Highlights

This workflow creates an intelligent chatbot based on Telegram that supports multi-session management. Users can initiate new sessions, query the current session, resume historical sessions, obtain session summaries, and ask questions through specific commands. Leveraging the OpenAI GPT-4o-mini model for natural language understanding and generation, combined with Google Sheets as persistent storage for session states and chat logs, it enables efficient session management and intelligent interactions.

Core Problems Addressed

  • How to effectively manage multiple user sessions within a Telegram chatbot to avoid session confusion.
  • Support for flexible user operations to start, switch, and resume multiple sessions, enhancing interaction experience.
  • Automatic generation of conversation summaries to help users quickly review historical content.
  • Integration of AI-powered intelligent Q&A to improve response accuracy and sophistication.
  • Persistent storage of sessions and chat records via cloud spreadsheets for convenient subsequent analysis and retrieval.

Application Scenarios

  • Customer Service Bots: Manage multiple users and sessions to improve service efficiency.
  • Online Learning Assistants: Record conversations on different learning topics and quickly summarize key points.
  • Personal Assistants: Manage multi-task sessions and provide intelligent answers.
  • Community Management: Automate management of multiple discussion topics and Q&A within group chats.
  • Any scenario requiring intelligent, multi-session conversational interactions on Telegram.

Main Workflow Steps

  1. Message Trigger: Receive user messages via the Telegram trigger.
  2. Command Parsing: Analyze messages to identify user commands (e.g., /new, /current, /resume, /summary, /question).
  3. Session Management: Query current session status in Google Sheets and create or switch sessions based on commands.
  4. Session Status Update: Update session states (current, expired, etc.) in Google Sheets.
  5. Context Memory: Maintain session context using LangChain’s Simple Memory node.
  6. AI Response Generation: Generate intelligent replies by invoking the OpenAI GPT-4o-mini model.
  7. Summary Generation: Generate conversation summaries via the Summarization Chain for the /summary command.
  8. Q&A Handling: Perform intelligent Q&A with contextual understanding for the /question command.
  9. Message Reply: Send generated replies back to users through the Telegram node.
  10. Data Storage: Store session messages and AI responses in the Google Sheets database to support future retrieval and analysis.

Involved Systems and Services

  • Telegram API: For message reception and delivery.
  • Google Sheets: Used as a database for session states and chat logs, enabling session management and data persistence.
  • OpenAI GPT-4o-mini: Provides natural language processing and generation capabilities supporting chat, summarization, and Q&A.
  • n8n Platform: Executes workflow automation and manages nodes.
  • LangChain Components: Implements AI memory management and chained calls.

Target Users and Value

  • Developers and automation engineers aiming to quickly build intelligent chatbots with multi-session management.
  • Enterprise customer service teams seeking to enhance chatbot efficiency and quality in handling multi-user conversations.
  • Educational institutions and content creators who need to manage and summarize multi-topic dialogues conveniently.
  • Community managers automating the management of multiple topics and Q&A within groups to improve user engagement.
  • Any users or teams looking to implement intelligent, multi-session conversational interactions within the Telegram environment.

By integrating Telegram messaging, OpenAI’s intelligent language models, and Google Sheets data management, this workflow delivers a comprehensive and user-friendly multi-session intelligent chatbot solution that significantly enhances user interaction flexibility and chatbot intelligence.