Integrations
This rantir workflow enhances chat UX by staggering an AI Agent's response for users who send multiple partial messages in quick succession, ensuring a smooth conversation experience.
How it works
- A Twilio webhook captures incoming messages from the user, storing each in a Redis-powered message stack.
- Execution pauses for 5 seconds, then checks the message stack for any recent messages.
- This check determines if the user is still sending messages or is awaiting a response.
- If a new message appears in the stack within the pause, execution is aborted to wait for the user to finish; otherwise, it continues.
- When the user stops sending messages, the buffered messages are sent to the AI Agent, enabling it to craft a single comprehensive reply.
Requirements
- A Twilio account with an SMS-enabled phone number for message reception.
- A Redis instance to manage the message stack.
- An OpenAI account to access the language model.
Customizing the workflow
This workflow can also be adapted for other messaging platforms like WhatsApp and Telegram.
Adjust the 5-second delay to optimize the response time based on user interaction patterns.
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