What's the best way to handle interruptions in a multi-turn chatbot conversation?

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What's the best way to handle interruptions in a multi-turn chatbot conversation?

Asked on Jan 02, 2026

Answer

Handling interruptions in a multi-turn chatbot conversation involves managing context and ensuring a smooth user experience. This typically requires implementing a mechanism to pause the current conversation flow, address the interruption, and then resume the original conversation seamlessly.

Example Concept: Implement a context stack where each conversation context is stored as a stack entry. When an interruption occurs, push the current context onto the stack and handle the new intent. Once the interruption is resolved, pop the context from the stack and resume the original conversation flow. This ensures that the chatbot can manage multiple conversation threads without losing track of the user's original intent.

Additional Comment:

Ensure your chatbot platform supports context management or state tracking to implement this feature effectively.
Consider using session variables or context parameters to store and retrieve conversation states.
Test the interruption handling thoroughly to ensure a seamless user experience.

✅ Answered with Chatbot best practices.

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