Name: AI Chatbot for Max Messenger with Voice Recognition (GigaChat + Sber)
Name: AI Chatbot for Max Messenger with Voice Recognition (GigaChat + Sber) Description: How it works This workflow powers an intelligent, conversational AI bot for Max messenger that can understand and respond to both text and voice messages. The bot uses GigaChat AI with built-in memory, allowing it to remember the conversation history for each unique user and answer follow-up questions. Voice messages are transcribed using Sber SmartSpeech. It's a complete solution for creating an engaging, automated assistant within your Max bot, using Russian AI services. Step-by-step Max Trigger:* The workflow starts when the *Max Trigger** node receives a new message sent to your Max bot. Access Control:* The *Check User** node verifies the sender's user ID against an allowed list. This prevents unauthorized users from accessing your bot. Access Denied Response:* If the user is not authorized, the *Access Denied** node sends a polite rejection message. Message Type Routing:* The *Text/Attachment** (Switch) node checks if the message contains plain text or has attachments (voice, photo, file). Attachment Processing:* If an attachment is detected, the *Download Attachment* (HTTP Request) node retrieves it, and the *Attachment Router** (Switch) node determines its type (voice, photo, or file). Voice Transcription:* For voice messages, the workflow gets a Sber access token via *Get Access Token* (HTTP Request), merges it with the audio file, and sends it to *Get Response** (HTTP Request) which uses Sber SmartSpeech API to transcribe the audio to text. Input Unification:* The *Voice to Prompt* node converts transcribed text into a prompt, while *Text to Prompt* does the same for plain text messages. Both paths merge at the *Combine** node. AI Agent Processing:* The unified prompt is passed to the *AI Agent, powered by **GigaChat Model and using Simple Memory to retain the last 10 messages per user (using Max user_id as the session key). Response Delivery:* The AI-generated response is sent back to the user via the *Send Message** node. Set up steps Estimated set up time: 15 minutes Get Max bot credentials: Visit https://business.max.ru/ to create a bot and obtain API credentials. Add these credentials to Max Trigger, Send Message, and Access Denied nodes. Add GigaChat credentials: Register for GigaChat API access and add your credentials to the GigaChat Model node. Add Sber credentials: Obtain Sber SmartSpeech API credentials and add them to Get Access Token and Get Response nodes (HTTP Header Auth). Configure access control: Open the Check User node and change the user_id value (currently 50488534) to your own Max user ID. This ensures only you can use the bot during testing. Customize bot personality: Open the AI Agent node and edit the system message to change the bot's name, behavior, and add your own contact information or links. Test the bot: Activate the workflow and send a text or voice message to your Max bot to verify it responds correctly. Notes This workflow is specifically designed for Russian-speaking users and uses Russian AI services (GigaChat and Sber SmartSpeech) as alternatives to OpenAI. Make sure you have valid API access to both services before setting up this workflow. An n8n automation workflow template by Konstantin.
Konstantin
web
free
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