Telegram AI multi-format chatbot

For Telegram, this AI multi-format chatbot automates message handling, enabling users to interact via text and voice. It leverages advanced AI to provide accurate responses, transcribes audio messages, and ensures seamless communication, enhancing user engagement and satisfaction.

7/8/2025
15 nodes
Complex
manualcomplexlangchaintelegramtelegramtriggersticky noteadvancedcommunicationbotlogicrouting
Categories:
Communication & MessagingComplex WorkflowManual Triggered
Integrations:
LangChainTelegramTelegramTriggerSticky Note

Target Audience

This workflow is ideal for:
- Developers looking to integrate AI capabilities into their Telegram bots.
- Businesses that want to automate customer interactions and provide instant responses.
- Content Creators who need to transcribe voice messages into text for easier management and organization.
- Educators who wish to leverage AI for interactive learning experiences through chatbots.

Problem Solved

This workflow addresses the challenge of efficiently handling user interactions in Telegram by:
- Automating responses to both text and voice messages.
- Providing real-time transcription of voice messages into text, enhancing accessibility.
- Ensuring that users receive accurate and formatted replies, improving user satisfaction.

Workflow Steps

  • Listen for Incoming Events: The workflow begins by listening for incoming messages on Telegram.
    2. Determine Content Type: It identifies whether the incoming message is a text query or a voice message.
    3. Download Voice File: If a voice message is detected, the workflow downloads the audio file for processing.
    4. Convert Audio to Text: The audio is transcribed into text using the OpenAI model, making it easier to handle.
    5. Combine Content and Set Properties: The workflow combines the incoming message with properties to prepare it for processing.
    6. AI Agent: The combined message is sent to the AI agent for generating a response.
    7. Send Typing Action: A typing indicator is sent to the user to enhance the interaction experience while the AI processes the request.
    8. Send Final Reply: The AI-generated response is sent back to the user in a formatted manner.
    9. Correct Errors: If there are any formatting issues in the response, they are corrected before sending.
    10. Send Error Message: If the message type is unsupported, an error message is sent to the user, guiding them on valid input types.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying AI Parameters: Adjust the temperature and frequency penalty in the OpenAI Chat Model to change the creativity and coherence of the responses.
    - Adding More Nodes: Integrate additional functionalities by adding nodes for other services or APIs to enhance the bot's capabilities.
    - Changing Response Formats: Customize the formatting of replies to suit branding or user preferences by modifying the HTML tags in the response generation step.
    - Implementing Additional Commands: Extend the bot's functionality by adding new commands that can be recognized and processed by the AI agent.