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Hello everyone! I'm developing an AI consultant within Telegram and have encountered a slight hurdle with the workflow implementation.
My Current Task: I need to collect user messages for approximately 10-15 seconds before forwarding them to the AI model. The goals are to:
- Ensure comprehensive conversation context is gathered.
- Decrease the frequency of API calls.
- Enhance the quality of responses.
What I’ve Already Tried:
- Utilized the Telegram Trigger.
- Planned to use OpenAI/OpenRouter for generating responses.
- Intend to implement temporary message storage within the workflow.
Questions for the Community:
- What is the recommended method for implementing message buffering in callin.io?
- What are the best practices for managing sequential messages?
- Are there any existing templates or examples available for this type of workflow?
I would greatly appreciate any advice or guidance!
My Tech Stack:
- callin.io
- Telegram
- OpenAI/OpenRouter
Posted : 12/07/2025 10:50 am